Description

You will build and manage scalable data solutions and ETL implementations on AWS.

This role is on-site.

Responsibilities

• Administer AWS configurations including topic, consumer, and producer controls.
• Decompose existing Java applications into Mule services or Python-based Lambda services.
• Implement ETL processes using Glue PySpark and other data engineering tools.
• Apply software engineering principles across all phases of the SDLC to build scaled solutions.

Required Skills

• 5+ years of professional experience in technical roles.
• Hands-on experience with AWS services and ETL implementation.
• Proficiency in Python and Java.
• Experience with AWS Athena and Glue PySpark.
• Working knowledge of EMR and DynamoDB.
• Experience managing AWS S3 and Redshift.
• Hands-on use of Kinesis for data streaming.

Preferred Skills

• Prior experience in pharma commercial environments.

Key Skills

Education

Any Graduate